An Open-Source Mesh Generation Platform for Biophysical Modeling Using Realistic Cellular Geometries.

ABSTRACT: Advances in imaging methods such as electron microscopy, tomography, and other modalities are enabling high-resolution reconstructions of cellular and organelle geometries. Such advances pave the way for using these geometries for biophysical and mathematical modeling once these data can be represented as a geometric mesh, which, when carefully conditioned, enables the discretization and solution of partial differential equations. In this work, we outline the steps for a naïve user to approach the Geometry-preserving Adaptive MeshER software version 2, a mesh generation code written in C++ designed to convert structural data sets to realistic geometric meshes while preserving the underlying shapes. We present two example cases: 1) mesh generation at the subcellular scale as informed by ele

SUBMITTER: Lee CT 

PROVIDER: S-EPMC7063475 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature